ERIC Number: EJ1376843
Record Type: Journal
Publication Date: 2023
Pages: 7
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-8756-7555
EISSN: EISSN-1930-8299
Can Personality Traits Predict Students' Satisfaction with Blended Learning during the COVID-19 Pandemic?
Tovmasyan, Anna; Walker, Daniel; Kaye, Linda
College Teaching, v71 n1 p49-55 2023
The present study aimed to assess the impact of personality traits on student satisfaction with blended learning which many higher education institutions have adopted since the COVID-19 pandemic in the UK. Personality traits were assessed using the International Personality Item Pool and student satisfaction was recorded on a 7-point Likert scale. Data analysis of 72 undergraduate students revealed that low extraversion and high neuroticism predicted higher levels of student satisfaction. Implications are discussed considering the current pandemic with a view of increasing student satisfaction and in-turn improving National Student Survey results that impact on Teaching Excellence Framework scores and league tables.
Descriptors: Foreign Countries, Personality Traits, Student Satisfaction, Blended Learning, COVID-19, Pandemics, Undergraduate Students, Predictor Variables
Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: United Kingdom
Grant or Contract Numbers: N/A
Data File: URL: https://osf.io/69qj3/?view_only=8a0a2145370643269fc17996da959832